Detect a face with OpenCV

Please Note: This Post refers to OpenCV 2.x!

The following sample uses the classes videoand common, which are helper classes from the samples/python2 folder.

The cascades used in this sample are located in the data folder of your OpenCV download, so you'll probably need to adjust the filename parameter cascade_fn to make this example work:

import cv2
from video import create_capture
from common import clock, draw_str

# You probably need to adjust some of these:
video_src = 0
cascade_fn = "haarcascades/haarcascade_frontalface_default.xml"
# Create a new CascadeClassifier from given cascade file:
cascade = cv2.CascadeClassifier(cascade_fn)
cam = create_capture(video_src)

while True:
  ret, img = cam.read()
  # Do a little preprocessing:
  img_copy = cv2.resize(img, (img.shape[1]/2, img.shape[0]/2))
  gray = cv2.cvtColor(img_copy, cv2.COLOR_BGR2GRAY)
  gray = cv2.equalizeHist(gray)
  # Detect the faces (probably research for the options!):
  rects = cascade.detectMultiScale(gray)
  # Make a copy as we don't want to draw on the original image:
  for x, y, width, height in rects:
    cv2.rectangle(img_copy, (x, y), (x+width, y+height), (255,0,0), 2)
  cv2.imshow('facedetect', img_copy)
  if cv2.waitKey(20) == 27:
    break

How to contribute

One of the easiest ways to contribute is to participate in discussions. You can also contribute by submitting pull requests.

General feedback and discussions?

Do you have questions or feedback on this article? Please create an issue on the GitHub issue tracker.

Something is wrong or missing?

There may be something wrong or missing in this article. If you want to help fixing it, then please make a Pull Request to this file on GitHub.